List of papers studying machine learning through the lens of category theory
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Updated
Oct 3, 2025 - Python
List of papers studying machine learning through the lens of category theory
The Python toolkit for computing with string diagrams.
Opycleid - A Python package for transformational music theory
Learning platform for category theory in python
A toolkit for higher-dimensional diagram rewriting.
Functional Python with Typeclasses and Categories
Self-supervised generative AI enables conversion of two non-overlapping cohorts - Das, S. et. al.
Lattice-preserving ALC ontology embeddings
Drafts of textbooks. One on the math inspired by supersymmetric field theories. One on low dimensional (below 3+1) integrable physics.
Python implementation of Category Theory
World First Category Theory Deep Learning Framework
An implementation of MMQL, a multi-model query language I created.
A DSL for describing categories. Language implemented in textX, using an algebra of categories from SymPy.
Challenges from Category Theory for Programmers
Choosing Meaning-Preserving Embeddings for RAG: From Infinite Banach to Finite Practical Vector Spaces
The Golomb Universe
Loop-TNR with generalized (categorical) symmetries to simulate complex CFTs
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